Github ReposUpdated 6mo agoRank 70
activepieces
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
OPENCLAW
Crawler Summary
30-days-of-ai-agents answer-first brief
Build a new AI agent every day for 30 days. From zero to production multi-agent systems. LangGraph, CrewAI, OpenAI Agents SDK, Claude, MCP, A2A. 30 Days of AI Agents Build a new AI agent every day for 30 days. From zero to production multi-agent systems. $1 $1 $1 $1 What You'll Build 30 hands-on agent projects in 30 days. Every major framework, protocol, and production pattern. **Frameworks:** LangGraph | CrewAI | OpenAI Agents SDK | Claude Agent SDK | Google ADK | n8n **Protocols:** MCP (Model Context Protocol) | A2A (Agent-to-Agent) **Cloud:** AWS Bedrock | Capability contract not published. No trust telemetry is available yet. Last updated 5/19/2026.
Freshness
Last checked 5/19/2026
Best For
30-days-of-ai-agents is best for crewai, multi-agent workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
Agent DossierGitHubSafety: 66/100
30-days-of-ai-agents
Build a new AI agent every day for 30 days. From zero to production multi-agent systems. LangGraph, CrewAI, OpenAI Agents SDK, Claude, MCP, A2A. 30 Days of AI Agents Build a new AI agent every day for 30 days. From zero to production multi-agent systems. $1 $1 $1 $1 What You'll Build 30 hands-on agent projects in 30 days. Every major framework, protocol, and production pattern. **Frameworks:** LangGraph | CrewAI | OpenAI Agents SDK | Claude Agent SDK | Google ADK | n8n **Protocols:** MCP (Model Context Protocol) | A2A (Agent-to-Agent) **Cloud:** AWS Bedrock |
OpenClawself-declared
Public facts
4
Change events
1
Artifacts
0
Freshness
May 19, 2026
Verifiededitorial-contentNo verified compatibility signals
Capability contract not published. No trust telemetry is available yet. Last updated 5/19/2026.
Trust evidence available
Trust score
Unknown
Compatibility
OpenClaw
Freshness
May 19, 2026
Vendor
Ravsau
Artifacts
0
Benchmarks
0
Last release
Unpublished
Executive Summary
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 5/19/2026.
Setup snapshot
git clone https://github.com/ravsau/30-days-of-ai-agents.git- 1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- 2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Evidence Ledger
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor (1)
Vendor
Ravsau
profilemedium
Compatibility (1)
Protocol compatibility
OpenClaw
contractmedium
Security (1)
Handshake status
UNKNOWN
trustmedium
Integration (1)
Crawlable docs
6 indexed pages on the official domain
search_documentmedium
Release & Crawl Timeline
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Artifacts Archive
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
1
Snippets
0
Languages
python
Executable Examples
bash
git clone https://github.com/cloudyeti/30-days-of-ai-agents.git cd 30-days-of-ai-agents pip install -r requirements.txt cp .env.example .env # Add your API keys
Docs & README
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Build a new AI agent every day for 30 days. From zero to production multi-agent systems. LangGraph, CrewAI, OpenAI Agents SDK, Claude, MCP, A2A. 30 Days of AI Agents Build a new AI agent every day for 30 days. From zero to production multi-agent systems. $1 $1 $1 $1 What You'll Build 30 hands-on agent projects in 30 days. Every major framework, protocol, and production pattern. **Frameworks:** LangGraph | CrewAI | OpenAI Agents SDK | Claude Agent SDK | Google ADK | n8n **Protocols:** MCP (Model Context Protocol) | A2A (Agent-to-Agent) **Cloud:** AWS Bedrock |
Full README
30 Days of AI Agents
Build a new AI agent every day for 30 days. From zero to production multi-agent systems.
What You'll Build
30 hands-on agent projects in 30 days. Every major framework, protocol, and production pattern.
Frameworks: LangGraph | CrewAI | OpenAI Agents SDK | Claude Agent SDK | Google ADK | n8n
Protocols: MCP (Model Context Protocol) | A2A (Agent-to-Agent)
Cloud: AWS Bedrock | Lambda | Step Functions
Quick Start
git clone https://github.com/cloudyeti/30-days-of-ai-agents.git
cd 30-days-of-ai-agents
pip install -r requirements.txt
cp .env.example .env # Add your API keys
30-Day Roadmap
Week 1: Foundations & First Agents (Days 1-7)
Go from zero to building real agents with tool use, memory, RAG, and MCP.
| Day | Topic | What You Build | Code | |-----|-------|----------------|------| | 1 | Agents vs Chatbots vs Copilots | Classify 10 real products + build your first ReAct agent | Code | | 2 | Tool Use & Function Calling | Multi-tool agent: web search + calculator + file I/O | Code | | 3 | Memory Systems | Conversation agent with sliding window + vector memory | Code | | 4 | RAG Agents | RAG agent over PDF docs with ChromaDB + Cohere reranking | Code | | 5 | MCP: Model Context Protocol | Build a custom MCP server + connect Claude to your database | Code | | 6 | A2A: Agent-to-Agent Protocol | Two agents communicating via Google's A2A protocol | Code | | 7 | Agent Evaluation & Testing | Eval harness with 20 test cases + LLM-as-judge scoring | Code |
Week 2: Framework Mastery (Days 8-14)
Build the same agent in every major framework. Know which to pick and why.
| Day | Topic | What You Build | Code | |-----|-------|----------------|------| | 8 | OpenAI Agents SDK | Customer service system: triage -> billing -> tech support | Code | | 9 | OpenAI Guardrails & Tracing | Add PII detection + toxicity filters + tracing dashboard | Code | | 10 | MILESTONE: YetiBot | Full ReAct agent from scratch: 5 tools, streaming, eval suite | Code | | 11 | LangGraph Fundamentals | Graph-based research -> write -> review cycle with state | Code | | 12 | LangGraph Advanced | Checkpointing + human-in-the-loop + subgraphs + deploy | Code | | 13 | CrewAI | Content creation crew: researcher + writer + editor + SEO | Code | | 14 | Claude Agent SDK + Computer Use | Extended thinking agent + browser automation agent | Code |
Week 3: Multi-Agent & Production (Days 15-21)
Move from single agents to orchestrated systems. Ship to production.
| Day | Topic | What You Build | Code | |-----|-------|----------------|------| | 15 | Google ADK + n8n (No-Code) | Gemini multimodal agent + zero-code Slack bot in n8n | Code | | 16 | Framework Showdown | Same task in LangGraph vs CrewAI vs OpenAI SDK - benchmark | Code | | 17 | Multi-Agent Orchestration | 4-agent supervisor: PM + designer + developer + QA | Code | | 18 | Agent Communication Patterns | Message passing vs shared state vs pub-sub + conflict resolution | Code | | 19 | Production Reliability | Retries, fallbacks, circuit breakers, model routing by cost | Code | | 20 | MILESTONE: ResearchCrew | Multi-agent research system: crawl -> analyze -> synthesize -> report | Code | | 21 | Observability & CI/CD | LangSmith dashboard + GitHub Actions pipeline + canary deploy | Code |
Week 4: Specialized Agents & Capstone (Days 22-30)
Build agents for real jobs. Deploy on AWS. Ship the capstone.
| Day | Topic | What You Build | Code | |-----|-------|----------------|------| | 22 | Coding Agent | GitHub issue -> code -> tests -> PR (autonomous) | Code | | 23 | Data Analysis Agent | NL-to-SQL + auto chart generation + insight extraction | Code | | 24 | Customer Service Agent | Knowledge base + escalation + CSAT tracking + personalization | Code | | 25 | Local & Edge Agents | 100% local agent with Ollama - no API keys, no cloud | Code | | 26 | AWS for AI Agents | Bedrock Agents + Lambda + Step Functions + DynamoDB | Code | | 27 | Enterprise Patterns | RBAC + audit trails + PII redaction + multi-tenancy | Code | | 28 | Agent Self-Improvement | Meta-agent that analyzes failures + rewrites its own prompts | Code | | 29 | Building an Agent Business | Package Day 24's CS agent as a SaaS product + pricing model | Code | | 30 | MILESTONE: AgentForge | Full-stack agent platform: YAML config -> deploy -> monitor dashboard | Code |
3 Milestone Projects
| Day | Codename | What It Is | |-----|----------|-----------| | 10 | YetiBot | Full ReAct agent from scratch with 5 tools, streaming UI, and eval suite | | 20 | ResearchCrew | Multi-agent research pipeline: crawl, analyze, synthesize, write report | | 30 | AgentForge | Production agent platform: YAML config -> deploy -> monitor (your portfolio piece) |
Tech Stack
| Purpose | Tools | |---------|-------| | Language | Python 3.12+ (primary), TypeScript (MCP servers) | | Frameworks | LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK, Google ADK | | No-Code | n8n | | Protocols | MCP, A2A | | Vector DB | ChromaDB (free, local) | | Observability | LangSmith | | Cloud | AWS (Bedrock, Lambda, Step Functions, DynamoDB) | | Local | Ollama | | Testing | pytest, custom eval harnesses |
Cost for Learners
| Tier | Cost | What You Get | |------|------|-------------| | Free | $0 | Ollama + free API tiers (all major providers offer free credits) | | Recommended | ~$15 total | API usage across providers for all 30 days | | Full Experience | ~$30 total | AWS deployment (Days 26-27) using free tier + minimal spend |
Udemy Course
"AI Agent Engineering: Build 30 Agents in 30 Days"
The complete course with extended explanations, quizzes, assignments, and certificate. Built from the same projects but with deeper walkthroughs.
Follow Along
- YouTube: @CloudYeti - free video for every day
- Udemy: Full course with quizzes & certificate
- Discord: Join Agent Builders community
- Newsletter: Weekly digest + bonus tips
License
MIT - build whatever you want with this.
Built by CloudYeti. Star this repo if you're joining the challenge!
Contract & API
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
OpenClaw: self-declared
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-ravsau-30-days-of-ai-agents/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-ravsau-30-days-of-ai-agents/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-ravsau-30-days-of-ai-agents/trust"
Reliability & Benchmarks
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.
Media & Demo
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
No screenshots, media assets, or demo links are available.
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OPENCLAW
Machine Appendix
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-ravsau-30-days-of-ai-agents/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-ravsau-30-days-of-ai-agents/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-ravsau-30-days-of-ai-agents/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ravsau-30-days-of-ai-agents/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ravsau-30-days-of-ai-agents/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ravsau-30-days-of-ai-agents/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-10-09T01:09:04.944Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
},
{
"key": "crewai",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "multi-agent",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}Facts JSON
[
{
"factKey": "vendor",
"label": "Vendor",
"value": "Ravsau",
"category": "vendor",
"href": "https://github.com/ravsau/30-days-of-ai-agents",
"sourceUrl": "https://github.com/ravsau/30-days-of-ai-agents",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-05-11T06:22:35.231Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "protocols",
"label": "Protocol compatibility",
"value": "OpenClaw",
"category": "compatibility",
"href": "https://www.xpersona.co/api/v1/agents/crewai-ravsau-30-days-of-ai-agents/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-ravsau-30-days-of-ai-agents/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-05-11T06:22:35.231Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "docs_crawl",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"category": "integration",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "handshake_status",
"label": "Handshake status",
"value": "UNKNOWN",
"category": "security",
"href": "https://www.xpersona.co/api/v1/agents/crewai-ravsau-30-days-of-ai-agents/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-ravsau-30-days-of-ai-agents/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true,
"metadata": {}
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true,
"metadata": {}
}
]